Computer Science Graduate Level Courses
501 FUNDAMENTALS OF DATA STRUCTURES 3 credits
Prerequisite: programming experience in C. Basic data structures and algorithms: stacks, queues, linked lists, trees, hash tables, and graphs; sorting and search algorithms. Introduction to data abstraction and algorithm analysis. (May not be used to meet computer science requirements)
506 INTRODUCTION TO C AND UNIX 3 credits
Prerequisite: Programming experience. C language programming. UNIX shell programming, file structure, system calls, and interprocess communication. (May not be used to meet computer science requirements)
508 WINDOWS PROGRAMMING 3 credits
Prerequisites: 208 or 210 or 406 or 506 or permission. Windows operating systems, integrated development environment, event-driven programming, graphical user interface design, using object libraries, component object model, object linking and embedding, client-server objects.521 OBJECT-ORIENTED PROGRAMMING 3 credits
Prerequisite: Admission to Computer Science master's program or permission. Object-oriented design, analysis, and programming using different development models. Comparison with other programming paradigms.
526 OPERATING SYSTEMS 3 credits
Prerequisites: Admission to Computer Science master’s program or permission. Introduction to aspects of all modern operating systems: types; storage management; process and resource control; interacting process synchronization. (May not be used to meet computer science master’s degree requirements)
528 UNIX SYSTEM PROGRAMMING 3 credits
Prerequisites: 316 and knowledge of C. An overview of the UNIX operating system. Shell programming. Process management, processor management, storage management, scheduling algorithms, resource protection, and system programming.535 ALGORITHMS 3 credits
Prerequisites: Admission to Computer Science master's program or permission. Design and analysis of efficient algorithms for random access machines; derivation of pattern classification algorithms.545 INTRODUCTION TO BIOINFORMATICS 3 credits
Prerequisites: 316. Introduce major themes in bioinformatics. Topics include concepts of molecular genetics, biological databases, database searching, sequence alignments, phylogenetic trees, structure prediction, and microarray data analysis.553 COMPUTER SECURITY 3 credits
Prerequisites: Admission to Computer Science master's program or permission. Principles of computer security: cryptography, authentications, secure network protocols, intrusion detection and countermeasures.557 COMPUTER GRAPHICS 3 credits
Prerequisites: Completion of 316 with a grade of C- or better and knowledge of C. Topics in vector and raster graphics, interactive graphics languages, scan conversion, clipping, geometric transformation, projection, shading, animation, and virtual reality.
560 ARTIFICIAL INTELLIGENCE AND HEURISTIC PROGRAMMING 3 credits
Prerequisite: 316. Study of various programs which have displayed some intelligent behavior. Exploration of level at which computers can display intelligence.575 DATA BASE MANAGEMENT 3 credits
Prerequisite: 316. Fundamentals of database organization, data manipulations and representation, data integrity, privacy.
577 INTRODUCTION TO PARALLEL PROCESSING 3 credits
Prerequisites: 316 and knowledge of C. Commercial processors: past and present. Parallel languages, models of parallel computation. Emphasis on parallel algorithm design and performance evaluation. A broad study of parallel paradigms with relation to real world applications.
580 SOFTWARE ENGINEERING 3 credits
Prerequisite: Admission to Computer Science master's program or permission. Introduction to formal software specification and validation. Introduction of methodologies and tools of design, development, validation, and maintenance.
589 TOPICS IN COMPUTER SCIENCE 3 credits
(May be repeated for a total of six credits) Prerequisite: Admission to Computer Science master's program or permission. Selected topics in computer science at an advanced level. (Department consent required for application to computer science master's degree requirements)597 INDIVIDUAL READING IN COMPUTER SCIENCE 1-3 credits
(May be repeated) Prerequisite: permission. Computer science major only. Directed studies designed as introduction to research problems, under guidance of designated faculty members. (Department consent required for application to computer science master's degree requirements)
601 RESEARCH METHODOLOGY 3 credits
Prerequisite: Admission to Computer Science graduate program or permission of instructor. Research process overview: literature review, formulation of problems, research design, writing proposals, data collection, data processing and analysis, evaluation, writing reports, and presenting results.
626 ADVANCED OPERATING SYSTEMS 3 credits
Prerequisite: 426/526 or equivalent. Advanced topics in operating system design: synchronization mechanisms, performance evaluation, security, distributed operating systems.
630 ADVANCED THEORY OF PROGRAMMING LANGUAGES 3 credits
Prerequisites: 430/530 and 418/518, or equivalent. In-depth study of various issues in the design and implementation of programming languages, such as formal type systems, operational and other semantics, and verification.
635 ADVANCED ALGORITHMS AND COMPLEXITY THEORY 3 credits
Prerequisite: Admission to Computer Science master's program or permission. Advanced graph algorithms, matrix multiplication, fast Fourier transforms, lower bound theory, complexity hierarchies, NP-complete and intractable problems, approximation techniques.
641 OPTIMIZ FOR PARALLEL COMPLIERS 3 credits
Prerequisite: Graduate standing and permission of instructor. Advanced analysis and transformation strategies to support automatic vectorization and parallelization of code, emphasizing restructuring to improve instruction scheduling.
645 COMPUTATIONAL BIOLOGY 3 credits
Prerequisite: Admission to Computer Science master's program or permission of instructor. Topics include sequence analysis, hidden Markov model, RNA structure prediction, microarray data analysis, biological networks, and molecular dynamics simulation as well as Monte Carlo simulation.
653 SOFTWARE SECURITY 3 credits
Prerequisite: Admission to Computer Science master's program or permission of instructor. Issues in software security--commons software errors, steganography, spam, cryptography, malware, Internet hacking.
655 COMPUTER NETWORKS AND DISTRIBUTED PROCESSING 3 credits
Prerequisites: 465/565 and 455/555. Interconnection technologies, protocol layering models, datagram and stream transport services, client-server paradigm, principles and protocols of interconnected networks operating as unified systems, and TCP/IP technology.658 VISUALIZATION 3 credits
Prerequisite: 457 or 557 or permission of instructor. Visualization pipeline, data representation in visualization, visualization algorithms, object-oriented visualization, scientific visualization, volume visualization, visualization applications and research topics.
660 EXPERT SYSTEMS 3 credits
Prerequisite: 460/560 or maturity in mathematics. Architecture of expert systems, knowledge representation and acquisition, inference mechanisms for expert systems, uncertainty management, expert system tools and applications.
665 ADVANCED COMPUTER ARCHITECTURE 3 credits
Prerequisite: 465/565 or equivalent. Fundamentals of computer analysis and design, with emphasis on cost/performance tradeoffs. Studies of pipelined, vector, RISC, and multiprocessor architectures.
670 ADVANCED AUTOMATA AND COMPUTABILITY 3 credits
Prerequisite: 470/570 or equivalent. An in-depth study of concepts related to computability. Topics include nondeterministic automats, recursive function theory, the Chomsky hierarchy, Turing machines and undecidability.
676 DATA MINING 3 credits
Prerequisite: admission to Computer Science master's program or permission. Study fundamental data mining algorithms and their applications in the process of Knowledge Discovery from Databases. Study Data warehousing systems and architectures.677 PARALLEL PROCESSING 3 credits
Prerequisite: 477/577. Advanced computer architectures, theories of parallel computing, system resources optimization, efficient programming languages and application requirements of cost-effective computer systems. Classical results and practical insights into implementing parallel algorithms on actual parallel machines.
680 SOFTWARE ENGINEERING 3 credits
Prerequisites: 307 and 316. Introduction to current techniques and methodologies used in software design, development, validation, and maintenance.
689 ADVANCED TOPICS IN COMPUTER SCIENCE 3 credits
(May be repeated) Prerequisite: permission of instructor. At most, six credits may be applied to degree requirements. Selected topics in computer science at an advanced level. (Department consent required for application to computer science master's degree requirements)698 MASTER'S RESEARCH 1-6 credits
(May be repeated) Prerequisite: permission of advisor. Research in suitable topics in computer science culminating in a research paper. No more than two credits applicable to major requirements.
699 MASTER'S THESIS 1-6 credits
Prerequisite: permission. (May be repeated for a total of six credits.) A properly qualified candidate for a master's degree may obtain 2-4 credits for research experience which culminates in presentation of a faculty-supervised thesis.